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Longitudinal profiling of circulating tumour DNA for tracking tumour dynamics in pancreatic cancer

BACKGROUND: The utility of circulating tumour DNA (ctDNA) for longitudinal tumour monitoring in pancreatic ductal adenocarcinoma (PDAC) has not been explored beyond mutations in the KRAS proto-oncogene. Here, we aimed to characterise and track patient-specific somatic ctDNA variants, to assess longi...

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Autores principales: Sivapalan, Lavanya, Thorn, Graeme J., Gadaleta, Emanuela, Kocher, Hemant M., Ross-Adams, Helen, Chelala, Claude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991893/
https://www.ncbi.nlm.nih.gov/pubmed/35392854
http://dx.doi.org/10.1186/s12885-022-09387-6
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author Sivapalan, Lavanya
Thorn, Graeme J.
Gadaleta, Emanuela
Kocher, Hemant M.
Ross-Adams, Helen
Chelala, Claude
author_facet Sivapalan, Lavanya
Thorn, Graeme J.
Gadaleta, Emanuela
Kocher, Hemant M.
Ross-Adams, Helen
Chelala, Claude
author_sort Sivapalan, Lavanya
collection PubMed
description BACKGROUND: The utility of circulating tumour DNA (ctDNA) for longitudinal tumour monitoring in pancreatic ductal adenocarcinoma (PDAC) has not been explored beyond mutations in the KRAS proto-oncogene. Here, we aimed to characterise and track patient-specific somatic ctDNA variants, to assess longitudinal changes in disease burden and explore the landscape of actionable alterations. METHODS: We followed 3 patients with resectable disease and 4 patients with unresectable disease, including 4 patients with ≥ 3 serial follow-up samples, of whom 2 were rare long survivors (> 5 years). We performed whole exome sequencing of tumour gDNA and plasma ctDNA (n = 20) collected over a ~ 2-year period from diagnosis through treatment to death or final follow-up. Plasma from 3 chronic pancreatitis cases was used as a comparison for analysis of ctDNA mutations. RESULTS: We detected > 55% concordance between somatic mutations in tumour tissues and matched serial plasma. Mutations in ctDNA were detected within known PDAC driver genes (KRAS, TP53, SMAD4, CDKN2A), in addition to patient-specific variants within alternative cancer drivers (NRAS, HRAS, MTOR, ERBB2, EGFR, PBRM1), with a trend towards higher overall mutation loads in advanced disease. ctDNA alterations with potential for therapeutic actionability were identified in all 7 patients, including DNA damage response (DDR) variants co-occurring with hypermutation signatures predictive of response to platinum chemotherapy. Longitudinal tracking in 4 patients with follow-up > 2 years demonstrated that ctDNA mutant allele fractions and clonal trends were consistent with CA19-9 measurements and/or clinically reported disease burden. The estimated prevalence of ‘stem clones’ was highest in an unresectable patient where changes in ctDNA dynamics preceded CA19-9 levels. Longitudinal evolutionary trajectories revealed ongoing subclonal evolution following chemotherapy. CONCLUSION: These results provide proof-of-concept for the use of exome sequencing of serial plasma to characterise patient-specific ctDNA profiles, and demonstrate the sensitivity of ctDNA in monitoring disease burden in PDAC even in unresectable cases without matched tumour genotyping. They reveal the value of tracking clonal evolution in serial ctDNA to monitor treatment response, establishing the potential of applied precision medicine to guide stratified care by identifying and evaluating actionable opportunities for intervention aimed at optimising patient outcomes for an otherwise intractable disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09387-6.
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spelling pubmed-89918932022-04-09 Longitudinal profiling of circulating tumour DNA for tracking tumour dynamics in pancreatic cancer Sivapalan, Lavanya Thorn, Graeme J. Gadaleta, Emanuela Kocher, Hemant M. Ross-Adams, Helen Chelala, Claude BMC Cancer Research BACKGROUND: The utility of circulating tumour DNA (ctDNA) for longitudinal tumour monitoring in pancreatic ductal adenocarcinoma (PDAC) has not been explored beyond mutations in the KRAS proto-oncogene. Here, we aimed to characterise and track patient-specific somatic ctDNA variants, to assess longitudinal changes in disease burden and explore the landscape of actionable alterations. METHODS: We followed 3 patients with resectable disease and 4 patients with unresectable disease, including 4 patients with ≥ 3 serial follow-up samples, of whom 2 were rare long survivors (> 5 years). We performed whole exome sequencing of tumour gDNA and plasma ctDNA (n = 20) collected over a ~ 2-year period from diagnosis through treatment to death or final follow-up. Plasma from 3 chronic pancreatitis cases was used as a comparison for analysis of ctDNA mutations. RESULTS: We detected > 55% concordance between somatic mutations in tumour tissues and matched serial plasma. Mutations in ctDNA were detected within known PDAC driver genes (KRAS, TP53, SMAD4, CDKN2A), in addition to patient-specific variants within alternative cancer drivers (NRAS, HRAS, MTOR, ERBB2, EGFR, PBRM1), with a trend towards higher overall mutation loads in advanced disease. ctDNA alterations with potential for therapeutic actionability were identified in all 7 patients, including DNA damage response (DDR) variants co-occurring with hypermutation signatures predictive of response to platinum chemotherapy. Longitudinal tracking in 4 patients with follow-up > 2 years demonstrated that ctDNA mutant allele fractions and clonal trends were consistent with CA19-9 measurements and/or clinically reported disease burden. The estimated prevalence of ‘stem clones’ was highest in an unresectable patient where changes in ctDNA dynamics preceded CA19-9 levels. Longitudinal evolutionary trajectories revealed ongoing subclonal evolution following chemotherapy. CONCLUSION: These results provide proof-of-concept for the use of exome sequencing of serial plasma to characterise patient-specific ctDNA profiles, and demonstrate the sensitivity of ctDNA in monitoring disease burden in PDAC even in unresectable cases without matched tumour genotyping. They reveal the value of tracking clonal evolution in serial ctDNA to monitor treatment response, establishing the potential of applied precision medicine to guide stratified care by identifying and evaluating actionable opportunities for intervention aimed at optimising patient outcomes for an otherwise intractable disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09387-6. BioMed Central 2022-04-07 /pmc/articles/PMC8991893/ /pubmed/35392854 http://dx.doi.org/10.1186/s12885-022-09387-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sivapalan, Lavanya
Thorn, Graeme J.
Gadaleta, Emanuela
Kocher, Hemant M.
Ross-Adams, Helen
Chelala, Claude
Longitudinal profiling of circulating tumour DNA for tracking tumour dynamics in pancreatic cancer
title Longitudinal profiling of circulating tumour DNA for tracking tumour dynamics in pancreatic cancer
title_full Longitudinal profiling of circulating tumour DNA for tracking tumour dynamics in pancreatic cancer
title_fullStr Longitudinal profiling of circulating tumour DNA for tracking tumour dynamics in pancreatic cancer
title_full_unstemmed Longitudinal profiling of circulating tumour DNA for tracking tumour dynamics in pancreatic cancer
title_short Longitudinal profiling of circulating tumour DNA for tracking tumour dynamics in pancreatic cancer
title_sort longitudinal profiling of circulating tumour dna for tracking tumour dynamics in pancreatic cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991893/
https://www.ncbi.nlm.nih.gov/pubmed/35392854
http://dx.doi.org/10.1186/s12885-022-09387-6
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